1 research outputs found
Experience Capture in Shipbuilding through Computer Applications and Neural Networks
It has always been a severe loss for any establishment when an experienced
hand retires or moves to another firm. The specific details of what his
job/position entails will always make the work more efficient. To curtail such
losses, it is possible to implement a system that takes input from a new
employee regarding the challenges he/she is facing and match it to a previous
occurrence where someone else held his/her chair. This system could be made
possible with input through the ages from the array of individuals who managed
that particular job and processing this data through a neural network that
recognizes the pattern. The paper is based on data collected from traditional
wooden dhow builders and some of the modern day unconventional shipyards. Since
the requirements for successful implementation in such scenarios seems too
steep at the moment, an alternate approach has been suggested by implementation
through the design processes across multiple shipyards. The process entails the
traditional value passed down through generations regarding a particular
profession and analysis has been done regarding how this knowledge/experience
can be captured and preserved for future generations to work upon. A series of
tools including SharePoint, MATLAB, and some similar software working in tandem
can be used for the design of the same. This research will provide valuable
insight as to how information sharing can be applied through generations for
effective application of production capabilities.Comment: Case study on knowledge transfer among employees with varying levels
of experience in the field of shipbuildin